Papers with Code 아카이브

Autonomous Vehicles

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 15
평가표: 1
보존된 평가 기록: 2

Autonomous vehicles is the task of making a vehicle that can guide itself without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

<span style="color:grey; opacity: 0.6">( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/angelmangubat/Bicycle_Occlusion_Level

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Objective Bicycle Occlusion Level Classification using a Deformable Parts-Based Model

https://github.com/angelvillar96/MCDS-VSS

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MCDS-VSS: Moving Camera Dynamic Scene Video Semantic Segmentation by Filtering with Self-Supervised Geometry and Motion

https://github.com/anilozdemir/echovpr

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EchoVPR: Echo State Networks for Visual Place Recognition

https://github.com/anindya2001/GSCEventMOD

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Moving Object Detection for Event-based vision using Graph Spectral Clustering

https://github.com/anirudh9784/Adversarial-Attacks-and-Defences

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An integrated Auto Encoder-Block Switching defense approach to prevent adversarial attacks

https://github.com/anishmadan23/foundational_fsod

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Revisiting Few-Shot Object Detection with Vision-Language Models

https://github.com/anita-hu/sim2real-lane-detection

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Sim-to-Real Domain Adaptation for Lane Detection and Classification in Autonomous Driving

https://github.com/anita-hu/simulanes

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Sim-to-Real Domain Adaptation for Lane Detection and Classification in Autonomous Driving

https://github.com/ankitdhall/lidar_camera_calibration

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LiDAR-Camera Calibration using 3D-3D Point correspondences

https://github.com/ankur-chr/panoptic_segmentation_nighttime_urban_driving_scenes

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Improving Panoptic Segmentation for Nighttime or Low-Illumination Urban Driving Scenes

https://github.com/anonoymous9423013/anonymous_paper

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Evaluating the Impact of Flaky Simulators on Testing Autonomous Driving Systems

https://github.com/anonymousaccountss/coslight

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CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control

https://github.com/anonymouse-9c53tp182bvz/vireo

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Leveraging Depth and Language for Open-Vocabulary Domain-Generalized Semantic Segmentation

https://github.com/anonymousidforsubmission/guidedlight

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GuideLight: "Industrial Solution" Guidance for More Practical Traffic Signal Control Agents

https://github.com/anshan-ar/fild

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Fast and Incremental Loop Closure Detection with Deep Features and Proximity Graphs

https://github.com/ansonlcy/TSceneJAL

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TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection

https://github.com/antonioo-c/geodrive

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GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control

https://github.com/anuragkulkarni/lidar-based_object_detection_with_real-time_voice_specifications

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LiDAR-based Object Detection with Real-time Voice Specifications

https://github.com/anxq/dapt

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Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose Estimation

https://github.com/aofrancani/dpt-vo

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Dense Prediction Transformer for Scale Estimation in Monocular Visual Odometry

https://github.com/aofrancani/tsformer-vo

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Transformer-Based Model for Monocular Visual Odometry: A Video Understanding Approach

https://github.com/apanariello4/DistFormer

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DistFormer: Enhancing Local and Global Features for Monocular Per-Object Distance Estimation

https://github.com/apoll2000/stereofog

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STEREOFOG -- Computational DeFogging via Image-to-Image Translation on a real-world Dataset

https://github.com/apostovan21/binarizedneuralnetwork

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Architecturing Binarized Neural Networks for Traffic Sign Recognition

https://github.com/apple2373/min-seg-road

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Minimizing Supervision for Free-space Segmentation

https://github.com/aqeelanwar/PEDRA

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Autonomous Navigation via Deep Reinforcement Learning for Resource Constraint Edge Nodes using Transfer Learning

https://github.com/arangesh/HandyNet

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HandyNet: A One-stop Solution to Detect, Segment, Localize & Analyze Driver Hands

https://github.com/aras62/SF-GRU

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Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs

https://github.com/aras62/vision-based-prediction

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Deep Learning for Vision-based Prediction: A Survey

https://github.com/arasul42/lcasl-ttu-vtol-bayes-sim

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Bayesian Data Augmentation and Training for Perception DNN in Autonomous Aerial Vehicles

https://github.com/arcaninez/odm3d

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ODM3D: Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object Detection

https://github.com/argoai/argoverse-api

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Argoverse: 3D Tracking and Forecasting with Rich Maps

https://github.com/argoverse/av2-api

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Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

https://github.com/aron-lin/seqtrack3d

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SeqTrack3D: Exploring Sequence Information for Robust 3D Point Cloud Tracking

https://github.com/arplaboratory/STHN

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STHN: Deep Homography Estimation for UAV Thermal Geo-localization with Satellite Imagery

https://github.com/arplaboratory/coped

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CoPeD-Advancing Multi-Robot Collaborative Perception: A Comprehensive Dataset in Real-World Environments

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.